EC细网格10 m风场产品在青岛港区的预报检验和随机森林订正  

Verification and Random Forest Correction of the EC fine-grid model 10 m wind in Qingdao Port

作　　者：罗江珊 杨凡 毕玮 任兆鹏 于周讯 LUO Jiangshan;YANG Fan;BI Wei;REN Zhaopeng;YU Zhouxun(Qingdao Meteorological Service Center,Qingdao 266003,China;Qingdao Engineering Technology Research Center for Meteorological Disaster Prevention,Qingdao 266003,China;Qingdao Port International Co.,Ltd.,Qingdao 266000,China)

机构地区：[1]青岛市气象服务中心,山东青岛266003 [2]青岛市气象灾害防御工程技术研究中心,山东青岛266003 [3]青岛港国际股份有限公司,山东青岛266000

出　　处：《海洋预报》2024年第3期110-119,共10页Marine Forecasts

基　　金：青岛市气象局青年专项项目(2021qdqxq11)。

摘　　要：利用2021年3月—2022年2月EC细网格10 m风场预报产品,对其在青岛港区的风场预报能力进行检验和订正。结果表明:对于大港码头、董家口港自动站和董家口港浮标站,EC细网格前48 h的10 m风速预报偏差离散程度相对较小,预报偏差中位数均大于0,表明模式风速预报较实况有系统性偏强的特征。EC细网格24 h预报的10 m风速与实况风速相关性较好,3个站点的相关系数分别为0.76、0.73、0.82。EC细网格对大港码头各风向的风速预报均偏大,在实况风向为东北风和偏东风时,EC细网格风速预报的均方根误差和平均误差最大;对于董家口港自动站和董家口港浮标站,不同风向下EC细网格的风速预报均方根误差差别不大。EC细网格对3个站点的风向预报偏差主要集中在-45°~45°,实况风速越小,风向的预报偏差离散程度越大。利用随机森林算法对青岛港区EC细网格预报风速进行订正,预报精度均得到提高。The 10 m wind forecasts of the EC fine-grid model in Qingdao Port from March 2021 to February 2022 are validated and corrected.The results show that:In comparison with the observations from Dagang Wharf,Dongjiakou Port Automatic Station and Dongjiakou Port Buoy Station,the dispersion of biases in 10 m wind speed forecasts at lead time of 48 h is relatively small,and the median of biases in the forecasts is larger than 0,indicating that the wind speed forecasts are systematically larger than the observations.The 10 m wind speed forecasts at lead time of 24 h have a good correlation with the observations,and the correlation coefficients for the three stations are 0.76,0.73,and 0.82,respectively.The wind speed forecasts for each wind direction are relatively large in Dagang Wharf.When the observed wind direction is northeast and east,the root mean square error and average deviation of wind speed forecasts in Dagang Wharf are the largest.For Dongjiakou Port Automatic Station and Dongjiakou Port Buoy Station,small differences in the root mean square error of wind speed forecasts exist under different wind directions.The wind direction biases for the three stations mainly concentrate between-45 and 45°.Smaller actual wind speed is always associated with larger dispersion of bias in the wind direction forecasts.Using the Random Forest to correct the wind speed forecasts improves the accuracy of forecasts in Qingdao Port.

关 键 词：EC细网格 10 m风 预报检验 随机森林 风速订正 

分 类 号：P457.5[天文地球—大气科学及气象学]